| Literature DB >> 30848458 |
Benjamin S Glicksberg1,2, Li Li2,3, Rong Chen2,3, Joel Dudley2, Bin Chen4,5,6.
Abstract
The surge of public disease and drug-related data availability has facilitated the application of computational methodologies to transform drug discovery. In the current chapter, we outline and detail the various resources and tools one can leverage in order to perform such analyses. We further describe in depth the in silico workflows of two recent studies that have identified possible novel indications of existing drugs. Lastly, we delve into the caveats and considerations of this process to enable other researchers to perform rigorous computational drug discovery experiments of their own.Entities:
Keywords: Big data; Bioinformatics; Clinical informatics; Drug discovery; Drug repositioning; Drug repurposing; Electronic medical records; Gene expression data; Pharmacogenomics; Systems pharmacology
Mesh:
Year: 2019 PMID: 30848458 PMCID: PMC6657335 DOI: 10.1007/978-1-4939-9089-4_6
Source DB: PubMed Journal: Methods Mol Biol ISSN: 1064-3745